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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 1801–1810 of 10033 papers

TitleStatusHype
A Statistical Approach to Increase Classification Accuracy in Supervised Learning Algorithms—0
Bayesian Sample Size Determination of Vibration Signals in Machine Learning Approach to Fault Diagnosis of Roller Bearings—0
A Framework for Model Search Across Multiple Machine Learning Implementations—0
Advantage of Machine Learning over Maximum Likelihood in Limited-Angle Low-Photon X-Ray Tomography—0
An Empirical Study of Software Exceptions in the Field using Search Logs—0
Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks—0
An Empirical Study of the Relationships between Code Readability and Software Complexity—0
BB-ML: Basic Block Performance Prediction using Machine Learning Techniques—0
BCCNet: Bayesian classifier combination neural network—0
Using theoretical ROC curves for analysing machine learning binary classifiers—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified